Clustering Algorithms Comparison for University of Anbar Researchers’ Google Scholar Profiles-Reference-Cited by-同舟云学术

Clustering Algorithms Comparison for University of Anbar Researchers’ Google Scholar Profiles

Published:2023-07-04 Issue: Volume: Page:
ISSN:
Container-title:2023 Al-Sadiq International Conference on Communication and Information Technology (AICCIT)
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Author:

Al-Kerboly Doreyed M. Ahmed¹,Hamad Murtadha M.²,Dawood Omar A.²

Affiliation:

1. University of Anbar,College of Computer Science and Information Technology College of Education for pure sience,Computer Science Department,Anbar,Iraq

2. University of Anbar,College of Computer Science and Information Technology,Computer Science Department,Anbar,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10217216/10217846/10217951.pdf?arnumber=10217951

Reference19 articles.

1. Comparison K-Medoids Algorithm and K-Means Algorithm for Clustering Fish Cooking Menu from Fish Dataset

2. The comparison of k-means and k-medoids algorithms for clustering the spread of the covid-19 outbreak in Indonesia

3. A Proposed Movie Recommender System to Solve Sparsity, Cold Start and Diversity Problems using Clustering Algorithms;chyad;Solid State Technology,2020

4. Applicability of K-medoids and K-means algorithms for segmenting students based on their scholastic performance

5. K-Means and K-Medoids: Cluster Analysis on Birth Data Collected in City Muzaffarabad, Kashmir

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